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作者:

Zhang, Zhihao (Zhang, Zhihao.) | Zhang, Baiguo (Zhang, Baiguo.) | Zhang, Xiaobo (Zhang, Xiaobo.)

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EI Scopus

摘要:

In recent years, most of Lora's research in the field of wireless technology has focused on the experimental exploration of its stability and communication range, without much attention to the impact of the actual transmission rate. However, as the length of Lora transmission load increases, the growth rate of low-speed transmission time is faster than that of high-speed transmission time. Therefore, it means that for the transmission of large capacity packets, the lower the transmission rate, the more time it takes; the longer the time, the more power it consumes. In this paper, the SNR, RSSI and packet loss rate of Lora over 3 Kbps in urban area and mountainous area were tested and explored respectively, and the RSSI curve with distance in different environment was obtained. The test results show that the actual communication distance of Lora with high transmission rate of 21875 bps in line of sight environment can reach 3 Km, packet loss rate is less than 1%. In addition, the influence of Lora on communication quality under different occlusion degrees in a certain range was tested. In the range of 500 m to 3 km, when the occlusion ratio was 0-5%, the highest speed reference value was 21875 bps, 5-10% reference value was 6250 bps, and more than 10% reference value was 3125 bps. In this paper, Lora SX1278 transceiver was used, in the same transmission of 100 KB data, the actual transmission rate is further improved by using the maximum duty cycle and improving the request response mechanism. Compared with a Lora system for image transmission, the transmission time is reduced by 81.3% and the transmission speed is increased by 4.3 times, which greatly improves the transmission efficiency of large capacity data such as image. © 2019 Published under licence by IOP Publishing Ltd.

关键词:

Intelligent computing Packet loss Radio transceivers Signal to noise ratio Growth rate Image enhancement

作者机构:

  • [ 1 ] [Zhang, Zhihao]Beijing Engineering Research Center for IOT Software and Systems, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Zhang, Baiguo]Beijing Engineering Research Center for IOT Software and Systems, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Zhang, Xiaobo]Beijing Engineering Research Center for IOT Software and Systems, Beijing University of Technology, Beijing, 100124, China

通讯作者信息:

  • [zhang, zhihao]beijing engineering research center for iot software and systems, beijing university of technology, beijing, 100124, china

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ISSN: 1742-6588

年份: 2020

期: 1

卷: 1544

语种: 英文

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SCOPUS被引频次: 1

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